Literature DB >> 21914515

Time trade-off derived EQ-5D weights for Australia.

Rosalie Viney1, Richard Norman, Madeleine T King, Paula Cronin, Deborah J Street, Stephanie Knox, Julie Ratcliffe.   

Abstract

BACKGROUND: Cost-utility analyses (CUAs) are increasingly common in Australia. The EuroQol five-dimensional (EQ-5D) questionnaire is one of the most widely used generic preference-based instruments for measuring health-related quality of life for the estimation of quality-adjusted life years within a CUA. There is evidence that valuations of health states vary across countries, but Australian weights have not previously been developed.
METHODS: Conventionally, weights are derived by applying the time trade-off elicitation method to a subset of the EQ-5D health states. Using a larger set of directly valued health states than in previous studies, time trade-off valuations were collected from a representative sample of the Australian general population (n = 417). A range of models were estimated and compared as a basis for generating an Australian algorithm.
RESULTS: The Australia-specific EQ-5D values generated were similar to those previously produced for a range of other countries, but the number of directly valued states allowed inclusion of more interaction effects, which increased the divergence between Australia's algorithm and other algorithms in the literature.
CONCLUSION: This new algorithm will enable the Australian community values to be reflected in future economic evaluations.
Copyright © 2011 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

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Mesh:

Year:  2011        PMID: 21914515     DOI: 10.1016/j.jval.2011.04.009

Source DB:  PubMed          Journal:  Value Health        ISSN: 1098-3015            Impact factor:   5.725


  64 in total

1.  The valuation of the EQ-5D in Portugal.

Authors:  Lara N Ferreira; Pedro L Ferreira; Luis N Pereira; Mark Oppe
Journal:  Qual Life Res       Date:  2013-06-08       Impact factor: 4.147

2.  Measuring caregiver outcomes in palliative care: a construct validation study of two instruments for use in economic evaluations.

Authors:  Renske Hoefman; Hareth Al-Janabi; Nikki McCaffrey; David Currow; Julie Ratcliffe
Journal:  Qual Life Res       Date:  2014-11-08       Impact factor: 4.147

3.  Valuation of EQ-5D-3L health states in Singapore: modeling of time trade-off values for 80 empirically observed health states.

Authors:  Nan Luo; Pei Wang; Julian Thumboo; Yee-Wei Lim; Hubertus J M Vrijhoef
Journal:  Pharmacoeconomics       Date:  2014-05       Impact factor: 4.981

Review 4.  Between-country heterogeneity in EQ-5D-3L scoring algorithms: how much is due to differences in health state selection?

Authors:  Eleanor M Pullenayegum; Kuhan Perampaladas; Kathryn Gaebel; Brett Doble; Feng Xie
Journal:  Eur J Health Econ       Date:  2014-09-25

5.  Modelling a preference-based index for EQ-5D-3L and EQ-5D-3L + Sleep using a Bayesian framework.

Authors:  Samer A Kharroubi; Yara S Beyh; John Brazier; Yaling Yang
Journal:  Qual Life Res       Date:  2020-02-03       Impact factor: 4.147

6.  Coaching Older Adults and Carers to have their preferences Heard (COACH): A randomised controlled trial in an intermediate care setting (study protocol).

Authors:  Stacey Masters; Jason Gordon; Craig Whitehead; Owen Davies; Lynne C Giles; Julie Ratcliffe
Journal:  Australas Med J       Date:  2012-09-09

7.  A comparison of EQ-5D-3L population norms in Queensland, Australia, estimated using utility value sets from Australia, the UK and USA.

Authors:  Susan Clemens; Nelufa Begum; Catherine Harper; Jennifer A Whitty; Paul A Scuffham
Journal:  Qual Life Res       Date:  2014-03-28       Impact factor: 4.147

8.  Cost-effectiveness of dual-energy X-ray absorptiometry plus antiresorptive treatment in Australian women with breast cancer who receive aromatase inhibitors.

Authors:  P Marcin Sowa; Martin J Downes; Louisa G Gordon
Journal:  J Bone Miner Metab       Date:  2016-03-11       Impact factor: 2.626

9.  QLU-C10D: a health state classification system for a multi-attribute utility measure based on the EORTC QLQ-C30.

Authors:  M T King; D S J Costa; N K Aaronson; J E Brazier; D F Cella; P M Fayers; P Grimison; M Janda; G Kemmler; R Norman; A S Pickard; D Rowen; G Velikova; T A Young; R Viney
Journal:  Qual Life Res       Date:  2016-01-20       Impact factor: 4.147

10.  EQ-5D Portuguese population norms.

Authors:  Lara Noronha Ferreira; Pedro L Ferreira; Luis N Pereira; Mark Oppe
Journal:  Qual Life Res       Date:  2013-08-03       Impact factor: 4.147

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